Triple
T7584917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton Fish III |
E179583
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fish |
E614498
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fish | Statement: [Hamilton Fish III, familyName, Fish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fish Context triple: [Hamilton Fish III, familyName, Fish]
-
A.
Fish
Fish is a British electronic music producer and DJ known for his work in drum and bass and related genres.
-
B.
Fish
chosen
Fish is a common English surname borne by various individuals, including fictional characters such as Ronnie Fish from P. G. Wodehouse’s stories.
-
C.
Carp
Carp is a village in the western part of Ottawa, Ontario, known for its rural character and the nearby Diefenbunker Cold War museum.
-
D.
Fishke
Fishke is the titular lame Jewish protagonist of Mendele Mocher Sforim’s classic Yiddish novel "Fishke the Lame," known for its blend of social critique and folk humor.
-
E.
Flounder
Flounder is Ariel’s loyal but easily frightened tropical fish friend in Disney’s animated film "The Little Mermaid."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f993cd0c8190864f801074625a32 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861812e08819097fd14fe2b8fee13 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.